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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Molecular Medicine Reports</journal-id>
<journal-title-group>
<journal-title>Molecular Medicine Reports</journal-title>
</journal-title-group>
<issn pub-type="ppub">1791-2997</issn>
<issn pub-type="epub">1791-3004</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/mmr.2017.6394</article-id>
<article-id pub-id-type="publisher-id">mmr-15-05-3438</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Transition and heavy metals compared to oxidative parameter balance in patients with deep vein thrombosis: A case-control study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Ferrante</surname><given-names>Margherita</given-names></name>
<xref rid="af1-mmr-15-05-3438" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Fiore</surname><given-names>Maria</given-names></name>
<xref rid="af1-mmr-15-05-3438" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Conti</surname><given-names>Gea Oliveri</given-names></name>
<xref rid="af1-mmr-15-05-3438" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Fiore</surname><given-names>Valerio</given-names></name>
<xref rid="af2-mmr-15-05-3438" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Grasso</surname><given-names>Alfina</given-names></name>
<xref rid="af1-mmr-15-05-3438" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Copat</surname><given-names>Chiara</given-names></name>
<xref rid="af1-mmr-15-05-3438" ref-type="aff">1</xref>
<xref rid="c1-mmr-15-05-3438" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Signorelli</surname><given-names>Salvatore Santo</given-names></name>
<xref rid="af2-mmr-15-05-3438" ref-type="aff">2</xref></contrib>
</contrib-group>
<aff id="af1-mmr-15-05-3438"><label>1</label>Department of Medical, Surgical and Advanced Technologies &#x2018;G.F. Ingrassia&#x2019;, University of Catania, I-95123 Catania, Italy</aff>
<aff id="af2-mmr-15-05-3438"><label>2</label>Department of Clinical and Experimental Medicine, University of Catania, I-95123 Catania, Italy</aff>
<author-notes>
<corresp id="c1-mmr-15-05-3438"><italic>Correspondence to</italic>: Dr Chiara Copat, Department of Medical, Surgical and Advanced Technologies &#x2018;G.F. Ingrassia&#x2019;, University of Catania, Via Santa Sofia 87, I-95123 Catania, Italy, E-mail: <email>ccopat@unict.it</email></corresp>
</author-notes>
<pub-date pub-type="ppub"><month>05</month><year>2017</year></pub-date>
<pub-date pub-type="epub"><day>24</day><month>03</month><year>2017</year></pub-date>
<volume>15</volume>
<issue>5</issue>
<fpage>3438</fpage>
<lpage>3444</lpage>
<history>
<date date-type="received"><day>30</day><month>12</month><year>2016</year></date>
<date date-type="accepted"><day>03</day><month>02</month><year>2017</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2017, Spandidos Publications</copyright-statement>
<copyright-year>2017</copyright-year>
</permissions>
<abstract>
<p>Our study compared copper (Cu), zinc (Zn) and manganese (Mn), crucial for human normal physiology maintenance, and lead (Pb) levels as environmental pollutant, in subjects suffering of deep vein thrombosis of lower limbs (DVTs) vs. healthy subjects. Furthermore, we evaluated oxidative stress parameters, the thiobarbituric acid reactive substances (TBARS) as the sum of malondialdehyde or 1,1,3,3-tetraethoxypropane (MDA) and 4-hydroxynonenal 4-HNE) and cytosolic superoxide dismutase (Cu/Zn-SOD) concentrations in both groups. We recruited 24 DVT cases and 46 healthy subjects as controls. Questionnaire with socio-demographic, habits and lifestyle were collected. Hair concentrations of Zn, Mn, Cu and Pb were measured by ICP-MS, plasma concentrations of MDA and 4-HNE were measured by HPLC and SOD plasma concentrations were detected by ELISA test. A quantitative and qualitative variables comparison between cases and controls group was made by Mann-Whitney U test and Pearsons Chi-square test, respectively. We found low concentrations of Zn, Mn and Cu vs. high Pb concentrations in DVTs subjects. TBARS were found higher in the cases group, conversely, SOD concentrations were found lower in cases with respect to controls. Furthermore, we found the diet of pathological subjects significantly deficient in vegetables. These results are indicative of a lower enzymatic activity in patients, related to low transition metal levels in the DVTs and high levels of Pb, coupled with an unbalanced diet.</p>
</abstract>
<kwd-group>
<kwd>metals</kwd>
<kwd>DVTs</kwd>
<kwd>oxidative stress</kwd>
<kwd>oxidative balance</kwd>
<kwd>diet/vegetables</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Deep vein thrombosis (DVTs) is the third most common cardiovascular disease (CVD) after ischemic heart disease and stroke (<xref rid="b1-mmr-15-05-3438" ref-type="bibr">1</xref>). The determinant factors for DVTs also include environmental factors such as exposure to atmospheric pollution (<xref rid="b2-mmr-15-05-3438" ref-type="bibr">2</xref>&#x2013;<xref rid="b5-mmr-15-05-3438" ref-type="bibr">5</xref>), genetic factors (<xref rid="b6-mmr-15-05-3438" ref-type="bibr">6</xref>) and unbalanced lifestyle habits, such as poor diet (<xref rid="b7-mmr-15-05-3438" ref-type="bibr">7</xref>&#x2013;<xref rid="b9-mmr-15-05-3438" ref-type="bibr">9</xref>), physical inactivity, smoking and alcohol consumption (<xref rid="b10-mmr-15-05-3438" ref-type="bibr">10</xref>). The risk for human health derived from an unbalanced diet, can lead to a deficiency of essential metals. Essential trace elements are those compounds that need to be present in the human diet to maintain normal physiological functions. Copper (Cu), manganese (Mn) and zinc (Zn) have been recognized as essential elements due to their presence in important proteins and enzymes such as pyruvate carboxylase and SOD (<xref rid="b11-mmr-15-05-3438" ref-type="bibr">11</xref>).</p>
<p>Conversely, others metals such as lead (Pb), iron (Fe), chromium (Cr) and cobalt (Co) undergo cycling reactions and have the possibility to produce reactive oxygen species (ROS) in biological systems. Therefore, disruption of metal ion homeostasis may lead to oxidative stress that induces DNA damage, lipid peroxidation and protein modification. This leads to numerous diseases, including cancer, cardiovascular disease, diabetes, atherosclerosis, venous thromboembolism, neurological disorders, chronic inflammation and others. The mechanism of action for all these metals involves formation of the ROS, finally producing malondialdehyde (MDA), 4-hydroxynonenal (4-HNE) and metabolic consumption of antioxidant species such as SOD (<xref rid="b12-mmr-15-05-3438" ref-type="bibr">12</xref>).</p>
<p>Our study compared the essential elements Cu, Zn and Mn, crucial for normal physiology maintenance, and Pb levels as environmental pollutant, in hair of subjects suffering of deep vein thrombosis of lower limbs (DVTs) vs. healthy subjects. Furthermore, we evaluated oxidative stress parameters, the thiobarbituric acid reactive substances (TBARS) as the sum of malondialdehyde or 1,1,3,3-tetraethoxypropane (MDA) and 4-hydroxynonenal (4-HNE) and cytosolic superoxide dismutase (Cu/Zn-SOD) plasma concentration in both groups.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Study design</title>
<p>The study was based on a case-control design. The participants were recruited by the Department of Clinic and Experimental Medicine, University of Catania. The study was approved by the Ethics Committee &#x2018;Catania 1&#x2019; and a written informed consent was obtained from each participant.</p>
<p>The socio-demographic, habits and lifestyle data were collected via questionnaire. Cases included in the study were selected by the following criteria: subjects with clinically diagnosed DVTs with increased volume limb, erythematosus skin tone (sometimes cyanotic), hot and glossy skin, sign of the fovea, pain after muscle strain, DVTs confirmed instrumentally; subjects with asymptomatic DVTs instrumentally diagnosed.</p>
<p>Some cases were excluded from the study with the following criteria: subjects aged &#x003E;75 years and suffering of active chronic diseases; subjects with recently surgical procedures; subjects with a history of congenital thrombophilia; subjects with tattoos, metal joint implants and metal dentures; subjects with treated hair (permanent and color).</p>
</sec>
<sec>
<title>Sampling of hair and blood</title>
<p>Samples of hair were collected for analysis of transition metals Cu, Mn and Zn and toxic metal Pb, because easily accessible samples, available in sufficient quantities, non-invasive sampling and stable material that does not require special treatments. In addition, minerals do not deteriorate or disappear after collection.</p>
<p>Hair was cut with a stainless steel pair of scissors, which were cleaned and visually inspected between samples to prevent cross-contamination. Hair was collected in three strands from the left, central and right area of the nape. The first 3 cm next to the hairline were selected for metal determination, accurately washed into 50 ml of falcon tube (Thermo Fischer Scientific, Pittsburgh, PA, USA) with bi-distilled water until water did not appear clean. Samples were then stored at &#x2212;20&#x00B0;C until processing.</p>
<p>Blood sample for TBARS and SOD analysis was collected by venipuncture, immediately centrifuged at 1,500 &#x00D7; g for 10 min at 4&#x00B0;C to separate the plasma. Plasma was then preserved in amber vials (Eppendorf AG, Hamburg, Germany) and stored at &#x2212;80&#x00B0;C until analysis.</p>
</sec>
<sec>
<title>Analysis of the metals</title>
<p>For metal extraction and quantification, aliquots of 0.5 g of each hair sample was weighed. An acid digestion was conducted with an Ethos TC microwave system (Milestone, Sorisole, Italy) with 6 ml of 65&#x0025; nitric acid (HNO<sub>3</sub>) (Carlo Erba, Milan, Italy) and 2 ml of 30&#x0025; peroxide hydrogen (H<sub>2</sub>O<sub>2</sub>) (Carlo Erba) for 50 min operation cycle at 200&#x00B0;C. After the cycle, at a temperature &#x003C;25&#x00B0;C the Teflon vessels (Milestone, Sorisole, Italy) were opened and Milli-Q water (Q-Gard<sup>&#x00AE;</sup> 1; Merck Millipore, Darmstadt, Germany) was added to the samples up to 50 ml; an ICP-MS (ELAN<sup>&#x00AE;</sup> DRC-e; PerkinElmer, Inc., Waltham, MA, USA) was used for metal quantification. Standards for the instrument calibration were prepared with mono element certified reference solution ICP standard (Merck Millipore, Darmstadt, Germany). To validate analysis we spiked real samples in duplicate with 5 &#x00B5;g/l of each element, and the percentage of recovery ranged between 97.8 and 113.8&#x0025;. The method detection limits (MDL) estimated with 3 &#x03C3; of the procedure blanks were (mg/kg w.w.): Cu 0.02, Mn 0.25, Zn 0.10 and Pb 0.011.</p>
</sec>
<sec>
<title>TBARS evaluation</title>
<p>TBARS were evaluated as the sum of MDA and 4-HNE concentrations according to the methodology previously described (<xref rid="b13-mmr-15-05-3438" ref-type="bibr">13</xref>,<xref rid="b14-mmr-15-05-3438" ref-type="bibr">14</xref>).</p>
<p>Briefly, 125 &#x00B5;l of thiobarbituric acid (TBA) (0.25 g in 50 ml H<sub>2</sub>O; Sigma-Aldrich St. Louis, MO, USA), 150 &#x00B5;l HPLC-grade H<sub>2</sub>O, and 325 &#x00B5;l phosphoric acid (H<sub>3</sub>PO<sub>4</sub>, 0.15 M; Sigma-Aldrich) were added to 100 &#x00B5;l plasma (in EDTA blood vials). The sample was incubated at 45&#x00B0;C for 1 h for 4-HNE TBA derivatization and 90&#x00B0;C for 1 h for MDA, then placed in ice for 4 min and centrifuged at 1,500 &#x00D7; g for 10 min at 4&#x00B0;C and syringe-filtered (0.45 mm; Superchrom S.r.l., Milan, Italy). Twenty microliters of the sample was then successively injected in HPLC (Series 200; Perkin-Elmer, Inc., Waltham, MA, USA) equipped with a UV detector, and a fluorescence detector using a Lichrospher<sup>&#x00AE;</sup> 100 RP-18 (250&#x00D7;4 mm) column. The HPLC setting was: mobile phase consisting of 200 ml methanol and 300 ml phosphate-buffered saline (50 mM, pH 7.4) with a flow of 1.0 ml/min and detection was carried out using an excitation of 532 nm and an emission of 553 nm. The calibration curve was carried out using commercial MDA (purity &#x003E;96&#x0025;; Merck Millipore) and 4-HNE (purity &#x003E;99&#x0025;, Cayman Chemical Co., Ann Arbor MI, USA) external standards, the calibration (five points) was performed using a pre-column derivatization with TBA. Mean recoveries of spiked matrices were 92 and 103&#x0025; for MDA e 4-HNE, respectively. The MDL were 0.02 &#x00B5;M-L for MDA and 0.01 &#x00B5;M-L for 4-HNE.</p>
</sec>
<sec>
<title>SOD analysis</title>
<p>SOD was dosed in plasma (EDTA) samples using a certificate assay kit of Cayman Chemical Co. (Ann Arbor kits, MI 48108). SOD activity was assessed by measuring the dismutation of superoxide radicals generated by xanthine oxidase and hypoxanthine in a 96-well plate. A SOD unit (U) is defined as the amount of enzyme required to the 50&#x0025; of dismutation. In our study, cytosolic Cu-Zn-SOD was detected. Briefly, the plasma was centrifuged at 1,500 &#x00D7; g for 10 min at 4&#x00B0;C. We collected only the top yellow plasma layer without disturbing the white buffy layer. The samples were diluted 1:5 with the equipped sample buffer. Sample processing and plate development were carried out according to the manufacturer&#x0027;s instructions. The plates were read at 440 nm through a Multiskan&#x2122; Thermo Fisher spectrophotometer (Thermo Fisher Scientific, Inc., Waltham, MA, USA) for 96-well plates. MDL was 0.005 U/ml.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Data were analyzed using SPSS, version 20.0 (SPSS, Inc., Chicago, IL, USA). The differences in the proportions of cases and controls responding to each question were tested by the Chi-square test. The Mann-Whitney U test was used to compare all quantitative variables between cases and controls. Results are presented as percentages and the corresponding p-value and as medians and interquartile range (IQR).</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<p>Seventy volunteers (24 cases and 46 controls) were included in the study. Volunteers were males and females aged between 43 and 71 years, residents in the province of Catania. The small number of participants was due to the limited prevalence of the DVTs (2&#x2013;4&#x0025; of the population) and it is frequently asymptomatic. In <xref rid="tI-mmr-15-05-3438" ref-type="table">Tables I</xref> and <xref rid="tII-mmr-15-05-3438" ref-type="table">II</xref> are summarized the results obtained from the administered questionnaires. Among the subjects recruited, there is a prevalence of women in the control group. Among the other socio-demographic parameters, habits and lifestyles, there is no association between case and control groups. According to the diet, it was revealed that the cases consumed fewer vegetables than the controls (p&#x003C;0.001).</p>
<p>With regard to metal concentrations detected in hair sample, as shown in <xref rid="f1-mmr-15-05-3438" ref-type="fig">Fig. 1</xref>, the overall trend is a lower concentration of essential metals Cu, Mn and Zn in the hair of subjects suffering of DVTs with respect to the control one. We found the median concentrations 9.52, 0.090 and 172 mg/kg, respectively, in the cases and 11.9, 0.227 and 182.5 mg/kg in the control group.</p>
<p>Conversely, the highest levels of the toxic metal Pb were found in the cases group (0.684 vs. 0.297 mg/kg). Although results indicate a clear pattern of accumulation between cases and control groups, statistically significant differences are related only to Mn (p=0.011) and Pb (p=0.042) concentrations.</p>
<p>With regard to oxidative stress parameters (<xref rid="f2-mmr-15-05-3438" ref-type="fig">Fig. 2</xref>), we found significantly higher median values in the cases than the control group for MDA (2.49 vs. 1.01 &#x00B5;M/l; p&#x003C;0.001) and TBARS (5.39 vs. 1.16 &#x00B5;M/l; p&#x003C;0.001), as well as for 4-HNE (0.26 vs. 0.15 &#x00B5;M/l); however, only 4-HNE was without a significant p-value (p=0.330) (<xref rid="f2-mmr-15-05-3438" ref-type="fig">Fig. 2</xref>). Conversely, the antioxidant enzyme SOD was found higher in the control group than in the cases (5.92 vs. 4.37 U/ml), but without significance (p=0.117). These results, even without strong statistical significance, indicate a status of oxidative stress in DVT subjects as well as deficiency in the oxide reductive system.</p>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Subjects with DVTs were recruited to evaluate bioaccumulation of essential metals (Cu, Mn and Zn). The toxic metal Pb can be a determinant factor in DVTs, and at which level the antioxidant defense system can be altered. In particular, the MDA, TBARS and 4-HNE levels, which are products of lipid peroxidation, were used as surrogate oxidation markers. A parameter reflecting antioxidant defenses measured in our study was Cu/Zn-SOD.</p>
<p>The status of oxidative stress occurs when the balance between the production of ROS and the antioxidant defense system is lacking. This imbalance can cause various diseases, including CVDs, thus DVTs. The endothelial integrity may therefore be less in case of excess of ROS or deficiency of antioxidant defense enzymes. The enzymes reduce the activity of ROS, and are able to maintain at vessel level the vasodilatory effects of nitric oxide (NO), conversely, ROS species can decrease the biological activity of NO (<xref rid="b15-mmr-15-05-3438" ref-type="bibr">15</xref>), produced in the respiratory tract as part of the inflammatory process (<xref rid="b16-mmr-15-05-3438" ref-type="bibr">16</xref>).</p>
<p>In several systemic diseases with an inflammatory component (cardiovascular, pulmonary, hepatic, retinal, and neurodegenerative), the products of lipid peroxidation are detected. The oxidation markers MDA and 4-HNE are among the breakdown products most commonly used to validate index of oxidative stress (<xref rid="b17-mmr-15-05-3438" ref-type="bibr">17</xref>). These products are relatively long-lived compared to ROS, forming covalent adducts with target molecules such as proteins, with important pathophysiological consequences (<xref rid="b18-mmr-15-05-3438" ref-type="bibr">18</xref>).</p>
<p>Our findings show higher oxidative stress parameters in DVTs compared to controls, indicating a physiological condition of oxidative stress, but highlighting significant differences only for MDA and TBARS. Low concentration of 4-HNE was detected in all subjects, while in the cases, it was found slightly higher. These results could be explain by the normal 4-HNE generation only amounting to 10&#x0025; of that of MDA, as demonstrated in several <italic>in vitro</italic> oxidation studies (<xref rid="b19-mmr-15-05-3438" ref-type="bibr">19</xref>).</p>
<p>The first line of enzymatic defense against oxidative stress is represented by the antioxidant enzyme SOD, and to a lesser extent by other enzymes such as ubiquinone oxidoreductase and catalase (NADH) (<xref rid="b20-mmr-15-05-3438" ref-type="bibr">20</xref>). In particular, SOD catalyzes the dismutation of superoxide radicals into hydrogen peroxides (H<sub>2</sub>O<sub>2</sub>) and prevents the NO<sub>2</sub> and peroxinitrites formation (<xref rid="b21-mmr-15-05-3438" ref-type="bibr">21</xref>,<xref rid="b22-mmr-15-05-3438" ref-type="bibr">22</xref>). Deficit of some essential metals (Cu, Zn and Mn) may be the determinant of the reduction of SOD activity. It is known that Cu/Zn-SOD and not Mn-SOD is inactivated, at a temperature of 37&#x00B0;C and a 7.4 pH, in the presence of H<sub>2</sub>O<sub>2</sub> and superoxide ion (<xref rid="b23-mmr-15-05-3438" ref-type="bibr">23</xref>,<xref rid="b24-mmr-15-05-3438" ref-type="bibr">24</xref>). In a healthy status, platelets possess high levels of the SOD, in particular, 77&#x0025; of Cu/Zn-SOD and the remaining part of Mn-SOD (<xref rid="b25-mmr-15-05-3438" ref-type="bibr">25</xref>), thus, SOD plays and important role in the platelet membrane fluidity and in the prevention of thrombosis. Our results highlight lower concentrations of the essential metals in DVTs, especially Mn that is significantly lower in this group. As said before, these metals are above all, essential to activate the SOD antioxidant defense, and we found a decreased activity of this enzyme in the DVT groups; SOD adds to the increased production of surrogate oxidative markers.</p>
<p>As indicated by the analysis of the questionnaries, there are no significant differences among socio-demographics, habits and lifestyle parameters, except for vegetable consumption, lower in the controls group, justifying, even if only in part, the increase of the oxidative stress in DVTs. In fact, vegetables as well as fruits are known to provide several important health benefits (<xref rid="b26-mmr-15-05-3438" ref-type="bibr">26</xref>). The dietary intake of antioxidant nutrients, as well as fruit and vegetable consumption, may reduce oxidative stress, once they are able to eliminate free radicals in a direct way, as is the case of vitamins, or in an indirect way, through minerals, which act as co-factors of antioxidant enzymes (<xref rid="b27-mmr-15-05-3438" ref-type="bibr">27</xref>). Nevertheless, several pollutants can be absorbed by diet (<xref rid="b28-mmr-15-05-3438" ref-type="bibr">28</xref>&#x2013;<xref rid="b31-mmr-15-05-3438" ref-type="bibr">31</xref>), and even if it is balanced, to date, the balance between benefits and risks due to the ingestion of contaminated food has been poorly characterized (<xref rid="b32-mmr-15-05-3438" ref-type="bibr">32</xref>).</p>
<p>With regard to the toxic metal investigation, the highest levels of Pb were found in DVTs. In human blood, ~99&#x0025; of the lead is found in the erythrocytes, leaving ~1&#x0025; in the plasma and serum (<xref rid="b33-mmr-15-05-3438" ref-type="bibr">33</xref>), indicating that erythrocytes could be an important target of lead toxicity in the cardiovascular system. Pb can increase thrombin generation and accelerating the coagulation process by tissue factor in plasma. Pb interferes with normal red blood cell formation by inhibiting important enzymes, inhibits SOD and reduces glutathione levels, increasing erythrocyte vulnerability to oxidative stress (<xref rid="b34-mmr-15-05-3438" ref-type="bibr">34</xref>). In association with DVTs, Pb decreases the plasminogen activator antigen (t-PA:Ag), increasing the production of this inhibitor (PAI-1). Plasminogen degrades many blood proteins, and in particular the fibrin of thrombus. Its absence reduces fibrinolysis and therefore favors DVTs (<xref rid="b35-mmr-15-05-3438" ref-type="bibr">35</xref>). In our patients Pb could have a role in the pathogenesis of DVTs, determining alterations in the erythrocyte membrane and their adhesiveness to the endothelium. It indirectly reduces the antioxidant defense mechanisms, exposing the endothelium to radicals and leading to endothelial dysfunction.</p>
<p>The Pb exposure can be caused by atmospheric pollution (<xref rid="b36-mmr-15-05-3438" ref-type="bibr">36</xref>,<xref rid="b37-mmr-15-05-3438" ref-type="bibr">37</xref>), which is associated with alterations of physiological balance related to cardiovascular health such as inflammation, hypercoagulability, thrombosis, vascular dysfunction of the autonomic nervous system and atherosclerosis. The experimental results of the studies carried out by other authors indicate that long-term exposure (years or decades) to air pollutants contributes to pulmonary (<xref rid="b38-mmr-15-05-3438" ref-type="bibr">38</xref>) and systemic oxidative stress, inflammation, atherosclerosis and increased risk of ischemic heart disease and death (<xref rid="b5-mmr-15-05-3438" ref-type="bibr">5</xref>). The short-term exposure (days or weeks) favors the risk of acute coronary syndrome due to atherosclerotic plaque rupture and thrombosis (<xref rid="b39-mmr-15-05-3438" ref-type="bibr">39</xref>,<xref rid="b40-mmr-15-05-3438" ref-type="bibr">40</xref>). Furthermore, air pollution has been associated with CVDs (heart failure, stroke, arrhythmias and cardiac dead) (<xref rid="b41-mmr-15-05-3438" ref-type="bibr">41</xref>) and a few recent studies indicate that air pollutants can play a role in the DVT risk (<xref rid="b2-mmr-15-05-3438" ref-type="bibr">2</xref>).</p>
<p>Arterial and venous thrombosis are commonly considered two distinct diseases, to date a growing body of evidence indicate several pathophysiological links. There are many common risk factors such as age, obesity, metabolic syndrome and most recently, the negative effect of short or prolonged exposure to air contaminants (<xref rid="b42-mmr-15-05-3438" ref-type="bibr">42</xref>&#x2013;<xref rid="b44-mmr-15-05-3438" ref-type="bibr">44</xref>).</p>
<p>It is known that air pollution plays a role on hypercoagulative condition. Consequently, there is a link between pollutants and venous thrombosis.</p>
<p>However, we possess robust knowledge concerning the role of air pollution on arterial thrombosis, while its role on venous thrombosis is still unclear.</p>
<p>Since our study showed an important significance on public health due to the high risk of venous thromboembolic disease (<xref rid="b45-mmr-15-05-3438" ref-type="bibr">45</xref>), it has a limit concerning the number of recruited subjects.</p>
<p>A larger amount of high-quality scientific experimental data are required to confirm our preliminary results and to correlate the atmospheric pollution with the residential areas of the recruited subjects. The results of this research are an important step in the understanding of the relationship between lifestyles, environmental pollution and venous thromboembolism, deepening the knowledge on their bond through the study of oxidative stress.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>This study was supported by the Department of Clinical and Experimental Medicine, University of Catania and the Department of Medical, Surgical Sciences and Advanced Technologies, &#x2018;G.F. Ingrassia&#x2019; Hygiene and Public Health, University of Catania.</p>
</ack>
<ref-list>
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<floats-group>
<fig id="f1-mmr-15-05-3438" position="float">
<label>Figure 1.</label>
<caption><p>Box-plot of metal concentrations detected in hair samples of the cases and the control group.</p></caption>
<graphic xlink:href="MMR-15-05-3438-g00.tif"/>
</fig>
<fig id="f2-mmr-15-05-3438" position="float">
<label>Figure 2.</label>
<caption><p>Box-plot of oxidative stress and oxidative defense parameters, detected in blood samples of the cases and the control group.</p></caption>
<graphic xlink:href="MMR-15-05-3438-g01.tif"/>
</fig>
<table-wrap id="tI-mmr-15-05-3438" position="float">
<label>Table I.</label>
<caption><p>Frequencies of some qualitative variables stratified by cases and controls.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">Cases n (&#x0025;)</th>
<th align="center" valign="bottom">Controls n (&#x0025;)</th>
<th align="center" valign="bottom">P-value<sup><xref rid="tfn1-mmr-15-05-3438" ref-type="table-fn">a</xref></sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Gender</td>
<td/>
<td/>
<td align="center" valign="top"><bold>&#x003C;0.05</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">17 (70.8)</td>
<td align="center" valign="top">20 (43.5)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">7 (29.2)</td>
<td align="center" valign="top">26 (56.5)</td>
</tr>
<tr>
<td align="left" valign="top">Sport</td>
<td/>
<td/>
<td align="center" valign="top">0.764</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">8 (33.3)</td>
<td align="center" valign="top">17 (37)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">16 (66.7)</td>
<td align="center" valign="top">29 (63)</td>
</tr>
<tr>
<td align="left" valign="top">Smoking habits</td>
<td/>
<td/>
<td align="center" valign="top">0.252</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Current smokers</td>
<td align="center" valign="top">6 (25)</td>
<td align="center" valign="top">13 (28.3)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Never smoked</td>
<td align="center" valign="top">9 (37.5)</td>
<td align="center" valign="top">24 (52.2)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Ex-smokers</td>
<td align="center" valign="top">9 (37.5)</td>
<td align="center" valign="top">9 (19.6)</td>
</tr>
<tr>
<td align="left" valign="top">Drinking water type</td>
<td/>
<td/>
<td align="center" valign="top">0.277</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mineral</td>
<td align="center" valign="top">14 (58.3)</td>
<td align="center" valign="top">32 (69.6)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Tap water</td>
<td align="center" valign="top">10 (41.7)</td>
<td align="center" valign="top">12 (26.1)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Both</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">2 (4.3)</td>
</tr>
<tr>
<td align="left" valign="top">Fruit consumption</td>
<td/>
<td/>
<td align="center" valign="top">0.400</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">16 (66.7)</td>
<td align="center" valign="top">35 (76.1)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">8 (33.3)</td>
<td align="center" valign="top">11 (23.9)</td>
</tr>
<tr>
<td align="left" valign="top">Vegetables consumption</td>
<td/>
<td/>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">9 (37.5)</td>
<td align="center" valign="top">39 (84.8)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">15 (62.5)</td>
<td align="center" valign="top">7 (15.2)</td>
</tr>
<tr>
<td align="left" valign="top">Fish consumption</td>
<td/>
<td/>
<td align="center" valign="top">0.314</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">10 (41.7)</td>
<td align="center" valign="top">25 (54.3)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">14 (58.3)</td>
<td align="center" valign="top">21 (45.7)</td>
</tr>
<tr>
<td align="left" valign="top">Alcohol consumption</td>
<td/>
<td/>
<td align="center" valign="top">0.100</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">7 (29.2)</td>
<td align="center" valign="top">6 (13)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">17 (70.8)</td>
<td align="center" valign="top">40 (87.0)</td>
</tr>
<tr>
<td align="left" valign="top">Mineral supplements use</td>
<td/>
<td/>
<td align="center" valign="top">0.874</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">4 (16.7)</td>
<td align="center" valign="top">7 (15.2)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">20 (83.3)</td>
<td align="center" valign="top">39 (84.8)</td>
</tr>
<tr>
<td align="left" valign="top">Herbal products use</td>
<td/>
<td/>
<td align="center" valign="top">0.304</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">2 (8.3)</td>
<td align="center" valign="top">8 (17.4)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">22 (91.7)</td>
<td align="center" valign="top">38 (82.6)</td>
</tr>
<tr>
<td align="left" valign="top">Hair products use</td>
<td/>
<td/>
<td align="center" valign="top">0.229</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">11 (45.8)</td>
<td align="center" valign="top">28 (60.9)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">13 (54.2)</td>
<td align="center" valign="top">18 (39.1)</td>
</tr>
<tr>
<td align="left" valign="top">Cosmetics use</td>
<td/>
<td/>
<td align="center" valign="top">0.126</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">7 (29.2)</td>
<td align="center" valign="top">21 (45.7)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">17 (70.8)</td>
<td align="center" valign="top">22 (47.8)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-mmr-15-05-3438"><label>a</label><p>Pearsons Chi-square test. Bold text, statistically significant.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-mmr-15-05-3438" position="float">
<label>Table II.</label>
<caption><p>Distribution of some quantitative variables stratified by cases and controls.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">Cases median (IQR)</th>
<th align="center" valign="bottom">Controls median (IQR)</th>
<th align="center" valign="bottom">P-value<sup><xref rid="tfn2-mmr-15-05-3438" ref-type="table-fn">a</xref></sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">64 (52&#x2013;71)</td>
<td align="center" valign="top">54 (43&#x2013;66.8)</td>
<td align="center" valign="top">0.201</td>
</tr>
<tr>
<td align="left" valign="top">Weight (kg)</td>
<td align="center" valign="top">74 (59.5&#x2013;89.3)</td>
<td align="center" valign="top">71.5 (61.8&#x2013;77.3)</td>
<td align="center" valign="top">0.310</td>
</tr>
<tr>
<td align="left" valign="top">Height (m)</td>
<td align="center" valign="top">1.65 (1.57&#x2013;1.75)</td>
<td align="center" valign="top">1.65 (1.60&#x2013;1.71)</td>
<td align="center" valign="top">0.598</td>
</tr>
<tr>
<td align="left" valign="top">Liters of drinking</td>
<td align="center" valign="top">1 (1&#x2013;2)</td>
<td align="center" valign="top">1 (1&#x2013;2)</td>
<td align="center" valign="top">0.702</td>
</tr>
<tr>
<td align="left" valign="top">water per day</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-mmr-15-05-3438"><label>a</label><p>Mann-Whitney U test. IQR, interquartile range.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
